code: def test_generate(self, model, inputs, use_pf, fp16):
      if fp16:
          for i in inputs:
              inputs[i] = inputs[i].half()
  
      output = model.generate(
          input_ids=inputs["input_features"],
          attention_mask=inputs["attention_mask"],
      )
      print("generate:", processor.batch_decode(output)[0])
  
file_path: parallelformers/tests/speech_to_text/speech_to_text_for_seq2seq_lm.py
imports: import os
  import unittest
  from argparse import ArgumentParser
  import soundfile
  import torch
  from datasets import load_dataset
  from transformers import Speech2TextForConditionalGeneration, Speech2TextProcessor
  from parallelformers import parallelize
label_desc: Use image node_id 1 for calling the TestSpeechModel obj's underlying member method code with example usage: obj.test_generate(model, inputs, use_pf, fp16) without return types